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An efficient algorithm for dynamic storage allocation in cloud computing environment

International Journal of Applied Mathematics and Statistics 2013年第18期48卷 254-262页

作者： Lin, Wen-Hui Lei, Zhen-Ming Liu, Jun Liu, Fang He, Gang Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunication Beijing 100876 China Technology Research Institute Aisino Corporation Beijing 100195 China

With the development of cloud computing, cloud computing cluster will need to be upgraded or replacing outdated hardware. Therefore, the cluster will evolve from the initial homogenous environment into heterogeneous environments. Hadoop is originally designed to be applied to homogeneous clusters, when the cluster goes heterogeneous, the performance of Hadoop will face a downward trend. This paper addresses the problem of how to improve the performance of Hadoop in heterogeneous environments. We study the evaluation methods of server performance and Hadoop technology. Then we present a method of evaluating node performance in cloud computing environment. Base on this method, we propose an algorithm for dynamic storage allocation that based on node performance evaluation. Experiments show that this algorithm can improve the ratio of data-local map tasks and shorten job runtime in heterogeneous Cloud Computing environment. © 2013 by CESER Publications.

关键词： Cloud computing

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MapReduce optimization algorithm based on machine learning in heterogeneous cloud environment

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The Journal of China Universities of Posts and Telecommunications 2013年第6期20卷 77-87,121页

作者： LIN Wen-hui LEI Zhen-ming LIU Jun YANG Jie LIU Fang HE Gang WANG Qin Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications School of Information Engineering Beijing University of Posts and Telecommunications Technology Research Institute Aisino Corporation School of Electronic Engineering Beijing University of Posts and Telecommunications

We present an approach to optimize the MapReduce architecture, which could make heterogeneous cloud environment more stable and efficient. Fundamentally different from previous methods, our approach introduces the machine learning technique into MapReduce framework, and dynamically improve MapReduce algorithm according to the statistics result of machine learning. There are three main aspects： learning machine performance, reduce task assignment algorithm based on learning result, and speculative execution optimization mechanism. Furthermore, there are two important features in our approach. First, the MapReduce framework can obtain nodes＇ performance values in the cluster through machine learning module. And machine learning module will daily calibrate nodes＇ performance values to make an accurate assessment of cluster performance. Second, with the optimization of tasks assignment algorithm, we can maximize the performance of heterogeneous clusters. According to our evaluation result, the cluster performance could have 19% improvement in current heterogeneous cloud environment, and the stability of cluster has greatly enhanced.

关键词： cloud computing MapReduce machine learning heterogeneity

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Sort-based relay selection algorithm for decode-and-forward relay system

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Science China(Information Sciences) 2013年第2期56卷 41-48页

作者： XIE Gang LIU YuanAn GAO JinChun LI XingZheng Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing University of Posts and Telecommunications Division of Research China Mobile Group Design Institute Co.

In this paper, a sort-based relay selection algorithm is proposed for decode-and-forward wireless relay systems. The proposed algorithm can reduce computational complexity and system overhead in the relay selection for practical decode-and-forward wireless relay systems with multiple sources and multiple relays. This would be a very important improvement. Firstly, the sufficient and necessary conditions for a relay to be feasible to a source are derived. By adopting relay transmission via its feasible relay, the source can improve channel capacity compared to direct transmission. Then, a sort-based relay selection algorithm is proposed based on the sufficient and necessary conditions. In the proposed algorithm, each relay makes decision on its feasibility individually, but the final source-relay paring decision is made in a centralized manner. Simulation results show that the proposed algorithm can provide considerable system performance improvement over the existing algorithm. Especially at low signal-to-noise (SNR) region, the performance of the proposed algorithm almost reaches the optimal one.

关键词： relay selection decode-and-forward relay cooperative communication wireless relay system

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Characterizing spatial and temporal dynamics of mobile internet services in cellular data network

Characterizing spatial and temporal dynamics of mobile inter...

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IET International Conference on Information and Communications Technologies, IETICT 2013

作者： Guo, Yan Liu, Jun Dong, Chao Zhou, Wenli Lei, Zhenming Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781849196536

Understanding spatial and temporal dynamics of mobile internet services in cellular data network can be of great help to network management and service provisioning. To this end, we conduct the detailed measurement analysis of spatial and temporal dynamics from point of view of traffic generated by subscribers. The analyzation is based on a large-scale data set collected from a commercial ISP covering an entire city in Southern China. We analyze individual subscriber behaviors and observe a significant variation in network usage among subscribers. We characterize mobile internet services spatial and temporal dynamics and identity their relation to traffic volume. The data set tracks more than 3 million mobile subscribers. To handle the problem of big data processing, the data are parallel processed using MapReduce programming model, a novel framework for distributed computing with proved high efficiency and low cost features. Generally, our observations deliver important insights into mobile internet service and mobile subscriber behavior.

关键词： MapReduce

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A new hybrid clustering algorithm based on stimulated annealing

A new hybrid clustering algorithm based on stimulated anneal...

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2013 5th International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC 2013

作者： Zha, Chengji Dou, Yinan Guo, Minjie Dong, Yue Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9780769550114

In the recent years, more and more researches are preferred to focus on network user behavior. Usually, k-means clustering and Agglomerative Nesting (AGNES) are respectively chosen to analyze the network user behavior. But both the two kinds of algorithm have some disadvantages inherently. A kind of hybrid clustering algorithm (ASAKM) is proposed in this paper, which takes the advantages of both kinds of clustering algorithms. Furthermore, the idea of simulated annealing is also adopted in this paper, to implement the global optimal solution while the partitioning methods usually only reach the local optimal minimum. Experiments indicate that, with this new hybrid algorithm, the clustering results can be more accurate. © 2013 IEEE.

关键词： Simulated annealing

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Characterizing service providers traffic of mobile internet services in cellular data network

Characterizing service providers traffic of mobile internet ...

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2013 5th International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC 2013

作者： Li, Tingting Liu, Jun Lei, Zhenming Xie, Yun Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9780769550114

With the rapid rising of the number of cellular phone users, accessing the Internet via mobile device is becoming a new norm in terms of network activities and people's daily life, resulting in an ever-increasing usage of the mobile Internet. This paper analyze Service Provider (SP) traffic characteristics Based on the massive data collected from a commercial Internet Service Provider (ISP) covering an entire province in Southern China. We investigate the distribution of SP traffic volume and flow number. In particular, our study has scrutinized the rank of SP in terms of traffic volume distribution, flow number distribution, and subscriber number distribution, fitted with a distribution model named power law distribution. Furthermore, we characterize the correlations among the traffic volume, flow number and subscriber number. As distributed parallel processing system have been recently developed due to the cloud computing platform and the cluster file system, they could be usefully applied to analyzing big traffic data. Thus, in this paper, we propose a mobile Internet traffic analysis method Based on the Map Reduce software framework of the cloud computing platform for a large-scale network. © 2013 IEEE.

关键词： MapReduce

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Mining and Modelling the Dynamic Patterns of Service Providers in Cellular Data network Based on Big Data Analysis

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China Communications 2013年第12期10卷 25-36页

作者：刘军李婷婷 CHENG Gang 于华雷振明 Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Microsoft Corporation

Understanding the dynamic traffic and usage characteristics of data services in cellular networks is important for optimising network resources and improving user *** studies have illustrated traffic characteristics from specific perspectives,such as user behaviour,device type,and *** this paper,we present the results of our study from a different perspective,namely service providers,to reveal the traffic characteristics of cellular data *** study is based on traffic data collected over a five-day period from a leading mobile operator's core network in *** propose a Zipf-like model to characterise the distributions of the traffic volume,subscribers,and requests among service *** distinct diurnal traffic patterns of service providers are identified by formulating and solving a time series clustering *** work differs from previous related works in that we perform measurements on a large quantity of data covering 2.2 billion traffic records,and we first explore the traffic patterns of thousands of service *** of our study present mobile Internet participants with a better understanding of the traffic and usage characteristics of service providers,which play a critical role in the mobile Internet era.

关键词： mobile Internet service provider traffic measurement MapReduce time seriesclustering

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Design of intelligent capabilities in SDN

Design of intelligent capabilities in SDN

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International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic systems Technology (Wireless VITAE)

作者： Hongyan Cui Yabo Zhu Yuan Yao Li Yufeng Yunjie Liu State Key Lab. of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing P. R. China Beijing Key Lab. of Network System Architecture and Convergence Information Engineering University of the People's Liberation Army Zhenzhou P. R. China

Software-Defined networking (SDN) is an innovative and programmable networking architecture, representing the direction of the future network evolution. In this paper, we propose an architecture to introduce traffic classification techniques into the OpenFlow-based SDN network, which enables the network to be application-aware, so the network could distinguish various applications flows and know the requirements of different flows. Our new architecture also take advantage of the new intelligence to make the network forward traffic flows based flows' demands on bandwidth and delay, which could improve Quality of Service (QoS) of applications and optimize resource allocation all over the network.

关键词： Switches Quality of service Ports (Computers) Protocols Bandwidth Computer architecture

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Characterizing smartphone traffic with MapReduce

Characterizing smartphone traffic with MapReduce

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2013 16th International Symposium on Wireless Personal Multimedia Communications, WPMC 2013 - Co-located with Global Wireless Summit 2013

作者： Yang, Jie Zhang, Shuo Zhang, Xinyu Liu, Jun Cheng, Gang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Microsoft Corporation Redmond United States

With the demand of increasing revenue by attracting customers consuming mobile internet services, traffic monitoring and analysis become more critical on network management and service provisioning for operators and ISPs. At the same time, the rapid growing number of smartphone clients led to more complexity and explosive mobile Internet traffic. It makes traditional traffic analyzing methods face challenge of dealing with huge amount of data. In this paper, we propose and implement a distributed computing system which aims to perform high-speed data-intensive network traffic analyses by leveraging MapReduce programming model. Running on this efficient system, we summarize characteristics of smartphone mobile internet traffic by analyzing massive real data which is captured from a living UMTS network of a major service provider of China. Our analysis is crucial for cellular providers to anticipate usage patterns and future traffic growths. © 2013 NICT.

关键词： MapReduce

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A new algorithm for physical topology discovery based on STP and AFT

A new algorithm for physical topology discovery based on STP...

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2013 5th International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC 2013

作者： He, Gang Liu, Yang Wu, Xiaochun Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9780769550114

Discovering the Ethernet's topology is very important for the network management. The way Based on STP and the way Based on AFT are the two main ways to do it. But hey both have some shortcomings when we do the discovering only by one of them. In this paper, we propose a new algorithm Based on the two ways to discover the topology in the LAN which will perform better. When there are switches which support STP and don't support STP, the result of our experiment demonstrate that our algorithm will be faster and more accurate than the traditional ways. © 2013 IEEE.

关键词： Topology

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